HFpEF in hypertrophic cardiomyopathy predicts adverse outcomes. Discover how machine learning improves risk assessment.

The use of predictive technology to make decisions about people raises ethical questions that humanity has devoted worryingly ...

However, a closer look, especially at the tables and figures, reveals that these documents remain largely unchanged from ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

Not all of the schemes were convincing, and the models sometimes got confused, started spouting gibberish that would give ...

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, ...

Which technologies, designs, standards, development approaches, and security practices are gaining momentum in multi-agent ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung ...

Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" ...